ArticleMedical science monitor : international medical journal of experimental and clinical research2017
High Expression of S100A6 Predicts Unfavorable Prognosis of Lung Squamous Cell Cancer.
Article in Medical science monitor : international medical journal of experimental and clinical research, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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Who cites it
14 citing papers in PubMed, 18 citations in OpenAlex.
- A review on clinical implications of S100 proteins in lung diseases.Frontiers in medicine · 2025Review
- S100 Protein Family in Lung Cancer: an Updated Narrative Review.Cancer management and research · 2025Review
- S100A6 could not promote the differentiation of Calu-6 lung cancer cell line.Annals of medicine and surgery (2012) · 2024Article
- The role of miR-6884-5p in epithelial-mesenchymal transition in non-small cell lung cancer.Aging · 2024Article
- S100A6: molecular function and biomarker role.Biomarker research · 2023Review
- The Role of S100A6 in Human Diseases: Molecular Mechanisms and Therapeutic Potential.Biomolecules · 2023Review
- S100A6 Protein-Expression and Function in Norm and Pathology.International journal of molecular sciences · 2023Review
- S100A6 represses Calu-6 lung cancer cells growth via inhibiting cell proliferation, migration, invasion and enhancing apoptosis.Cell biochemistry and function · 2021Article
- S100 family members: potential therapeutic target in patients with hepatocellular carcinoma: A STROBE study.Medicine · 2021Observational
- Metal exposure from additive manufacturing and its effect on the nasal lavage fluid proteome - a pilot study.PloS one · 2021Article
- The S100 Protein Family as Players and Therapeutic Targets in Pulmonary Diseases.Pulmonary medicine · 2021Review
- Prognostic values of S100 family mRNA expression in ovarian cancer.Cancer biomarkers : section A of Disease markers · 2019Article
- S100A6/miR193a regulates the proliferation, invasion, migration and angiogenesis of lung cancer cells through the P53 acetylation.American journal of translational research · 2019Article
- Expression and Comparison of Cbl-b in Lung Squamous Cell Carcinoma and Adenocarcinoma.Medical science monitor : international medical journal of experimental and clinical research · 2018Article
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Authors and funding
4 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
BACKGROUND S100 family of proteins is mainly involved in regulation of intracellular calcium homeostasis. Aberrant expression of S100 family members has been reported in many types of cancers. However, as a member of S100 family, the prognostic value of S100A6 for lung squamous cell carcinoma (SCC) has not been well-studied. MATERIAL AND METHODS Using immunohistochemistry, we investigated the expression of S100A6 in 177 patients with SCC and further divided the cohort into a high S100A6 expression group and a low S100A6 expression group. The chi-square test was applied to analyze the correlation between S100A6 expression and clinicopathological factors. Univariate analysis using the Kaplan-Meier method was performed to compare the difference in survival rates between the high S100A6 expression group and the low S100A6 expression group; multivariate analysis with Cox regression model was used to identify independent prognostic risk factors. RESULTS In our experiment, we demonstrated that the expression of S100A6 was significantly associated with patient age and tumor differentiation. High-expression of S100A6 was shown to be substantially related to the unfavorable prognosis of SCC. Moreover, our results confirmed that S100A6 was an independent risk factor for SCC prognosis, and could predict unfavorable prognosis. CONCLUSIONS High-expression of S100A6 was identified as an independent unfavorable prognostic factor for SCC, suggesting that targeting S100A6 may result in the development of potential targeted drug for SCC.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.